Pore-scale insight into the impact of heterogeneity in porous media on CO2–oil immiscible displacement

作者
Shuyang Liu,Richeng Liu,Minfeng Li,Yingshuo Wan,Junrong Liu,Baojiang Sun
出处
期刊:Physics of Fluids [American Institute of Physics]
卷期号:37 (10)
标识
DOI:10.1063/5.0295555
摘要

CCUS (carbon dioxide capture, utilization, and storage) technology constitutes a pivotal solution for achieving net-zero carbon emissions. As an important implementation pathway of CCUS, CO2–Enhanced Oil Recovery (EOR) can not only enable CO2 storage but also substantially improve the hydrocarbons production. The pore structure of reservoir porous media greatly impacts microscopic CO2 displacement, which is crucial for CO2–EOR. Pore-structure heterogeneity, a dominant factor in CO2 flooding, exerts pivotal control over displacement dynamics, which remains unclear. To bridge gaps, this study employs pore-scale numerical simulations coupling the Navier–Stokes (N-S) equations with phase-field method to elucidate heterogeneity effects on immiscible CO2–oil displacement. The recovery in porous media, the types of residual oil, and the morphology of the CO2–oil displacement front are systematically investigated across varying capillary numbers (Ca) and wettability conditions. The results demonstrate that enhanced heterogeneity induces preferential flow channel development in porous media, which accelerates CO2 breakthrough time and impairs oil recovery efficiency. In highly heterogeneous models, Ca effects are diminished with displacement front shape and residual oil distribution dominated by heterogeneity, and oil recovery even decreases anomalously with increasing Ca. Contact angle (θ) impact on heterogeneity depends on wettability: under oil-wet conditions (θ < π/2), higher θ mitigates CO2 channeling from heterogeneity, while under CO2-wet conditions (θ > π/2), higher θ exacerbates such channeling. This study reveals the critical role of pore-scale heterogeneity in CO2–oil displacement, which is significant for optimizing CO2–EOR efficiency.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
一元复始发布了新的文献求助10
1秒前
嘟嘟图图发布了新的文献求助10
1秒前
gyh应助大力笑容采纳,获得10
2秒前
李华完成签到,获得积分10
3秒前
研友_VZG7GZ应助杳杳采纳,获得10
5秒前
慕青应助那一片海采纳,获得10
5秒前
多情鑫鹏完成签到,获得积分10
5秒前
ZZZ发布了新的文献求助50
6秒前
6秒前
kido完成签到 ,获得积分10
6秒前
6秒前
7秒前
吴鸣康发布了新的文献求助10
9秒前
咕咕发布了新的文献求助10
10秒前
11秒前
张丽妍发布了新的文献求助10
11秒前
我是老大应助哈哈哈哈采纳,获得30
11秒前
12秒前
狂野人杰发布了新的文献求助10
13秒前
14秒前
15秒前
15秒前
乐乐发布了新的文献求助10
16秒前
16秒前
科研通AI6.2应助雨天采纳,获得10
17秒前
完美犀牛发布了新的文献求助10
17秒前
Dryang完成签到 ,获得积分10
19秒前
那一片海发布了新的文献求助10
20秒前
cx发布了新的文献求助10
21秒前
ding应助LM采纳,获得30
21秒前
22秒前
哈哈哈哈完成签到,获得积分10
23秒前
23秒前
ZZZ完成签到,获得积分10
23秒前
邵x发布了新的文献求助10
24秒前
24秒前
英俊的铭应助wzdxmt采纳,获得10
25秒前
25秒前
26秒前
科研通AI6.3应助龙亮采纳,获得10
27秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Modern Epidemiology, Fourth Edition 5000
Digital Twins of Advanced Materials Processing 2000
Weaponeering, Fourth Edition – Two Volume SET 2000
Polymorphism and polytypism in crystals 1000
Signals, Systems, and Signal Processing 610
Discrete-Time Signals and Systems 610
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 纳米技术 有机化学 物理 生物化学 化学工程 计算机科学 复合材料 内科学 催化作用 光电子学 物理化学 电极 冶金 遗传学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 6025170
求助须知:如何正确求助?哪些是违规求助? 7660392
关于积分的说明 16178481
捐赠科研通 5173325
什么是DOI,文献DOI怎么找? 2768143
邀请新用户注册赠送积分活动 1751567
关于科研通互助平台的介绍 1637648